Epileptogenic Source Imaging Using Cross-Frequency Coupled Signals From Scalp EEG

Objective: The epileptogenic zone (EZ) is a brain region containing the sources of seizure genesis. Removal of the EZ is associated with cessation of seizures after resective surgical procedures, as measured by Engel Class I score. This study describes a novel EEG (electroencephalography) source ima...

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Bibliographic Details
Published in:IEEE transactions on biomedical engineering 2016-12, Vol.63 (12), p.2607-2618
Main Authors: Li, Chunsheng, Jacobs, Daniel, Hilton, Trevor, Campo, Martin del, Chinvarun, Yotin, Carlen, Peter L, Bardakjian, Berj L
Format: Article
Language:English
Subjects:
Adolescent
Adult
Artifactual immunity
Background noise
Brain
Brain - physiology
Brain - physiopathology
Brain Mapping - methods
Brain modeling
cross-frequency coupling
EEG
EEG source imaging (ESI)
Electrodes
Electroencephalography
Electroencephalography - methods
Electromyography
Epilepsy
Epilepsy - physiopathology
Female
Frequency modulation
Humans
Imaging
Intervention
Male
Medical imaging
Middle Aged
Modelling
modulation index (MI)
Neural networks
Scalp
Scalp - physiology
Seizures
Signal Processing, Computer-Assisted
Signal to noise ratio
Surgery
Young Adult
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Summary:Objective: The epileptogenic zone (EZ) is a brain region containing the sources of seizure genesis. Removal of the EZ is associated with cessation of seizures after resective surgical procedures, as measured by Engel Class I score. This study describes a novel EEG (electroencephalography) source imaging (ESI) method which uses cross-frequency coupled potential signals ( S CFC ) derived from scalp EEG. Methods: Scalp EEG were recorded from ten patients (20 seizures) suffering from epilepsy. The S CFC were constructed from the phase and amplitude of the lower and higher frequency rhythms at electrographic seizure onset. ESI was then performed using the S CFC . Validation of the technique was facilitated by forward and inverse computer modeling of known cortical sources, and the correspondence of the ESI with EZ in resected regions of patients. Results: For ten seizures sampled at or above 500 Hz from four patients, all estimated sources lay within the resected region, emphasizing the clinical importance of higher sampling rates. The S CFC demonstrated significant advantages over the "raw" scalp EEG, indicating its robust noise performance. Modeling investigations indicated that a signal-to-noise ratio above 0.2 was sufficient to achieve successful localization regarding EMG artifacts. Conclusion: The association of the estimated sources to the EZ suggests that cross-frequency coupling is a feature of the brain's neural networks, not of artifactual activity. The S CFC can effectively extract brain signals from a noisy background. Significance: We propose this approach to enhance the placement of intracranial electrode for surgical intervention.
ISSN:0018-9294
1558-2531
DOI:10.1109/TBME.2016.2613936